What prerequisites are needed?
.NET 9.0 SDK, an Azure subscription with Application Registration permissions, and an Azure OpenAI resource or OpenAI API key.
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MCP Graph API Demo demonstrates the Model Context Protocol (MCP) with Azure Graph API to query application registrations in your Azure tenant. It uses a Blazor WebAssembly client that communicates with an ASP.NET Core server implementing MCP, allowing an AI-assisted chat interface to retrieve and present application registration data.
Install .NET 9.0 SDK, configure Azure AD and OpenAI settings in the appsettings.json files (server and client), then start the server with dotnet run in MCP.Server and the client with dotnet run in MCP.Client. Open a browser and use the chat interface to ask questions about your Azure App Registrations.
.NET 9.0 SDK, an Azure subscription with Application Registration permissions, and an Azure OpenAI resource or OpenAI API key.
Edit `MCP.Server/appsettings.json` with your Azure AD tenant ID, client ID, client secret, and required scopes (`User.Read`, `Application.Read.All`).
Data is retrieved from Microsoft Graph API and processed on the server; the client only receives structured results and never holds raw Graph API data.
The server uses Azure AD authentication to call Microsoft Graph API; the client uses Azure AD for user authentication and an API key for OpenAI. Communication between client and server happens via standard HTTP.
Yes, add new function declarations in `MCP.Server/Services/McpGraphService.cs` and implement the logic in `ExecuteFunctionAsync`. The client's LLM automatically discovers and uses new functions.

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